Technical Product Owner-Client Experience

Location: Malvern, PA Description: Our client is currently seeking a Technical Product Owner-Client Experience
1+ Year Contract
Malvern, PA (hybrid--onsite Tuesdays, Wednesdays, and Thursdays)

Overall Description:

(75%) Manages technical strategy (& implementation) for Client Experience data products (both client feedback survey data & non-survey data) and owns Data Dependency monitoring/alerts ecosystem, in partnership with technical, analytics, and product owner stakeholders across the division.

(25%) Manages analytics data (for senior leadership CX Metrics), and ensures data quality and data governance standards are achieved and communicated, supporting analytics stakeholders across the division.

Technical Responsibilities:

Leads development and implementation of new technical cross-divisional products

Influences and collaborates, across cross-functional technical teams, to optimize data quality and data governance ecosystem.

Drives connections across data products / capabilities (data capture, analytics, reporting, engineering, operations, SQL management, etc.).

Builds (& leads) the team's "Data Dependency" program (including documentation, monitoring capabilities, alert functionalities, technical process maps), and required communications plans

Analytics Responsibilities:

Engages with internal analytics partners to understand business strategy, objectives, and KPIs.

Leads "Monthly Data QA" (ensuring key metrics across multiple data ecosystems match), annual CX Metrics optimization initiatives, regular ROI analyses, regular impact analyses, and ongoing partnerships with other analysts to continuously enhance all of the above.

Manages a series of senior leadership CX Metrics (& respective SQL code) to ensure optimal data quality & data governance practices.

Qualifications:

Overall:

10+ years related business experience

Strong communication skills

Strong strategy experience

Client Experience (CX) background

Financial Industry background

Technical Knowledge:

Data Engineering, Data Quality, Data Lineage, Data Governance, Metadata Documentation, Technical Process Maps, Data Dependency Identification / Mapping, Data Architecture.

Analytics Knowledge:

SQL, Python, Power BI, Tableau, AWS S3 Tables, Github, running formal Experiments and ROI analyses.

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